{{ :​en:​dydaktyka:​problog:​toy_link_1.png?​200|}}Let assume we have a very tiny network ​as shown on the right. In this problem all links are undirected and unlabeled. Nodes have labels shown using different colors. ​

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{{ :​en:​dydaktyka:​problog:​toy_link_1.png?​200|}}Let assume we have a very tiny network, similar to the one shown on the right. In this problem all links are undirected and unlabeled. Nodes have labels shown using different colors. ​

Our ask is to train a link predictor using [[https://​dtai.cs.kuleuven.be/​problog/​|Problog]]. In case somebody forgot Problog installation is fairly easy given a working Python environment (''​pip install problog''​ and optionally ''​problog install''​ on Linux). In case it wasn't simple enough, one can try to use the [[https://​dtai.cs.kuleuven.be/​problog/​editor.html|on-line interface]]. The evidence file for the problem can downloaded from {{ :​en:​dydaktyka:​problog:​link_prediction_data.pl | this link}}.

Our ask is to train a link predictor using [[https://​dtai.cs.kuleuven.be/​problog/​|Problog]]. In case somebody forgot Problog installation is fairly easy given a working Python environment (''​pip install problog''​ and optionally ''​problog install''​ on Linux). In case it wasn't simple enough, one can try to use the [[https://​dtai.cs.kuleuven.be/​problog/​editor.html|on-line interface]]. The evidence file for the problem can downloaded from {{ :​en:​dydaktyka:​problog:​link_prediction_data.pl | this link}}.

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You can start from {{ :​en:​dydaktyka:​problog:​link_prediction_empty.pl |this point}}.

== Questions: ==

== Questions: ==

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- What network'​s features have impact on the result?

- What network'​s features have impact on the result?

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- Try to learn a similar (but bigger) model from the following {{ :​en:​dydaktyka:​problog:​hypertext_classification_data.pl|data}}. Is there any issue with creating such a model? ​

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- Try to learn a similar (but bigger) model from the following ​evidence ​{{ :​en:​dydaktyka:​problog:​hypertext_classification_data.pl|data}} and {{ :​en:​dydaktyka:​problog:​hypertext_classification_network.pl|network definition}}. Is there any issue with creating such a model? ​

- Could you learn similar classifier using classic machine learning classifiers?​

- Could you learn similar classifier using classic machine learning classifiers?​